Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor

In this study, we propose a novel method for obstructive sleep apnea (OSA) detection using a piezo-electric sensor. OSA is a relatively common sleep disorder. However, more than 80% of OSA patients remain undiagnosed. We investigated the feasibility of OSA assessment using a single-channel physiolog...

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Bibliographic Details
Published in:Journal of Korean medical science 2017, 32(6), 228, pp.893-899
Main Authors: Erdenebayar, Urtnasan, Park, Jong Uk, Jeong, Pilsoo, Lee, Kyoung Joung
Format: Article
Language:English
Subjects:
Adult
Aged
Female
Heart Rate - physiology
Humans
Male
Middle Aged
Original
Polysomnography - instrumentation
Polysomnography - methods
Sensitivity and Specificity
Severity of Illness Index
Sleep Apnea, Obstructive - diagnosis
Sleep Apnea, Obstructive - diagnostic imaging
Sleep Apnea, Obstructive - pathology
Snoring - physiopathology
Support Vector Machine
의학일반
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Summary:In this study, we propose a novel method for obstructive sleep apnea (OSA) detection using a piezo-electric sensor. OSA is a relatively common sleep disorder. However, more than 80% of OSA patients remain undiagnosed. We investigated the feasibility of OSA assessment using a single-channel physiological signal to simplify the OSA screening. We detected both snoring and heartbeat information by using a piezo-electric sensor, and snoring index (SI) and features based on pulse rate variability (PRV) analysis were extracted from the filtered piezo-electric sensor signal. A support vector machine (SVM) was used as a classifier to detect OSA events. The performance of the proposed method was evaluated on 45 patients from mild, moderate, and severe OSA groups. The method achieved a mean sensitivity, specificity, and accuracy of 72.5%, 74.2%, and 71.5%; 85.8%, 80.5%, and 80.0%; and 70.3%, 77.1%, and 71.9% for the mild, moderate, and severe groups, respectively. Finally, these results not only show the feasibility of OSA detection using a piezo-electric sensor, but also illustrate its usefulness for monitoring sleep and diagnosing OSA.
ISSN:1011-8934
1598-6357
DOI:10.3346/jkms.2017.32.6.893